Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/162206
Title: Synergies between Lean and Industry 4.0 for Enhanced Maintenance Management in Sustainable Operations
Author: Mendes, David
Gaspar, Pedro D.
Charrua-Santos, Fernando
Navas, Helena
Keywords: energy transition
Industry 4.0
Lean Philosophy
maintenance
maintenance management
model
sensors
sustainability
TPM
Bioengineering
Chemical Engineering (miscellaneous)
Process Chemistry and Technology
SDG 9 - Industry, Innovation, and Infrastructure
SDG 7 - Affordable and Clean Energy
Issue Date: 8-Sep-2023
Abstract: Companies actively seek innovative tools and methodologies to enhance operations and meet customer demands. Maintenance plays a crucial role in achieving such objectives. This study identifies existing models that combine Lean Philosophy and Industry 4.0 principles to enhance decision-making and activities related to maintenance management. A comprehensive literature review on key concepts of Lean Philosophy and Industry 4.0, as well as an in-depth analysis of existing models that integrate these principles, is performed. An innovative model based on the synergies between Lean Philosophy and Industry 4.0, named the Maintenance Management in Sustainable Operations (MMSO) model, is proposed. A pilot test of the application of the MMSO model on a conveyor belt led to an operational time increase from 82.3% to 87.7%, indicating a notable 6.6% improvement. The MMSO model significantly enhanced maintenance management, facilitating the collection, processing, and visualization of data via internet-connected devices. Through this integration, various benefits are achieved, including improved flexibility, efficiency, and effectiveness in addressing market needs. This study highlights the value of integrating Lean Philosophy and Industry 4.0 principles to improve maintenance management practices. The proposed MMSO model effectively leverages these principles, fostering agility, optimized resource utilization, heightened productivity and quality, and reduced energy consumption. The model not only serves as a tool for operational optimization and customer demand enhancement but also aligns with sustainability principles within the energy transition. Its successful application in the pilot test phase further reinforces its potential as a reliable approach for maintenance management and sustainable operations in both production and decision-making processes.
Description: Publisher Copyright: © 2023 by the authors.
Peer review: yes
URI: http://hdl.handle.net/10362/162206
DOI: https://doi.org/10.3390/pr11092691
ISSN: 2227-9717
Appears in Collections:Home collection (FCT)

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